Adds an opt-in High Quality mode to the Object Eraser, backed by a new inpaint-hq feature bundle (Stable Diffusion 1.5 inpainting via diffusers). The default fast LaMa path is unchanged. Both arch archives are published to deepsafe/feature-bundles and the manifest carries their real sha256/sizes.
Verified end to end: a fresh container pulls the bundle from HuggingFace, checksum-verifies it, extracts torch/diffusers plus the fp16 model, and the HQ sidecar erases a large object with a plausible fill.
Refs #141
Adds a Brush | Lasso toggle to the object eraser. Lasso lets the user drag a freeform loop that auto-closes and fills into the mask, so they select around a subject instead of painting every pixel. Frontend-only; the mask contract is unchanged. Also un-skips the erase-object e2e suite via a shared mockAiFeaturesInstalled helper (7 tests now run; 2 multi-file tests fixme'd for a pre-existing tool-page remount bug). Closes#492.
The spec used the bare /erase-object route (404 under section URLs) and the
old flat fixture path (test-200x150.png moved to image/valid/), so every test
silently skipped. Point it at /image/erase-object and the correct fixture, and
add a 404 guard so future route rot fails loudly instead of skipping.
- Add 8 new E2E specs for AI tools (upscale, enhance-faces, colorize,
restore-photo, erase-object, smart-crop, passport-photo, red-eye-removal)
closing all HIGH/MEDIUM coverage gaps from the test matrix audit
- Fix ensureAiDirs() crash on non-Docker environments by gating on
isDockerEnvironment() — prevents ENOENT when /data doesn't exist
- Bump torch 2.6.0→2.7.0 and torchvision 0.21.0→0.22.0 in feature
manifest for broader Python version compatibility
- Add Python 3.14 version guard warning in install_feature.py
- Remove duplicate torchvision shims from upscale.py and enhance_faces.py
(dispatcher.py already handles this at startup)
- Remove orphaned tools.batch i18n key and dead pipeline-builder filter
- Regenerate 4 visual regression baselines for current UI state
- Add data-testid to passport-photo generate button for E2E testability